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Development of Marker-Free Night-Vision Displacement Sensor System by Using Image Convex Hull Optimization
Vision-based displacement sensors (VDSs) have the potential to be widely used in the structural health monitoring field, because the VDSs are generally easier to install and have higher applicability to the existing structures compared to the other conventional displacement sensors. However, the VDS...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308800/ https://www.ncbi.nlm.nih.gov/pubmed/30486349 http://dx.doi.org/10.3390/s18124151 |
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author | Choi, Insub Kim, JunHee Jang, Jisang |
author_facet | Choi, Insub Kim, JunHee Jang, Jisang |
author_sort | Choi, Insub |
collection | PubMed |
description | Vision-based displacement sensors (VDSs) have the potential to be widely used in the structural health monitoring field, because the VDSs are generally easier to install and have higher applicability to the existing structures compared to the other conventional displacement sensors. However, the VDS also has disadvantages, in that ancillary markers are needed for extracting displacement data and data reliability is significantly lowered at night. In this study, a night vision displacement sensor (NVDS) was proposed to overcome the aforementioned two limitations. First, a non-contact NVDS system is developed with the installation of the infrared (IR) pass filter. Since it utilizes the wavelength of the infrared region and it is not sensitive to the change of a visible ray, it can precisely extract the shape information of the structure even at night. Second, a technique to extract the feature points from the images without any ancillary marker was formulated through an image convex hull optimization. Finally, the experimental tests of a three-story scaled model were performed to investigate the effectiveness of proposed NVDS at night. The results demonstrate that the NVDS has sufficiently high accuracy even at night and it can precisely measure the dynamic characteristics such as mode shapes and natural frequencies of the structure. The proposed system and formulation would extend the applicability of vision sensor not only into night-time measure but also marker-free measure. |
format | Online Article Text |
id | pubmed-6308800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63088002019-01-04 Development of Marker-Free Night-Vision Displacement Sensor System by Using Image Convex Hull Optimization Choi, Insub Kim, JunHee Jang, Jisang Sensors (Basel) Article Vision-based displacement sensors (VDSs) have the potential to be widely used in the structural health monitoring field, because the VDSs are generally easier to install and have higher applicability to the existing structures compared to the other conventional displacement sensors. However, the VDS also has disadvantages, in that ancillary markers are needed for extracting displacement data and data reliability is significantly lowered at night. In this study, a night vision displacement sensor (NVDS) was proposed to overcome the aforementioned two limitations. First, a non-contact NVDS system is developed with the installation of the infrared (IR) pass filter. Since it utilizes the wavelength of the infrared region and it is not sensitive to the change of a visible ray, it can precisely extract the shape information of the structure even at night. Second, a technique to extract the feature points from the images without any ancillary marker was formulated through an image convex hull optimization. Finally, the experimental tests of a three-story scaled model were performed to investigate the effectiveness of proposed NVDS at night. The results demonstrate that the NVDS has sufficiently high accuracy even at night and it can precisely measure the dynamic characteristics such as mode shapes and natural frequencies of the structure. The proposed system and formulation would extend the applicability of vision sensor not only into night-time measure but also marker-free measure. MDPI 2018-11-27 /pmc/articles/PMC6308800/ /pubmed/30486349 http://dx.doi.org/10.3390/s18124151 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Choi, Insub Kim, JunHee Jang, Jisang Development of Marker-Free Night-Vision Displacement Sensor System by Using Image Convex Hull Optimization |
title | Development of Marker-Free Night-Vision Displacement Sensor System by Using Image Convex Hull Optimization |
title_full | Development of Marker-Free Night-Vision Displacement Sensor System by Using Image Convex Hull Optimization |
title_fullStr | Development of Marker-Free Night-Vision Displacement Sensor System by Using Image Convex Hull Optimization |
title_full_unstemmed | Development of Marker-Free Night-Vision Displacement Sensor System by Using Image Convex Hull Optimization |
title_short | Development of Marker-Free Night-Vision Displacement Sensor System by Using Image Convex Hull Optimization |
title_sort | development of marker-free night-vision displacement sensor system by using image convex hull optimization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308800/ https://www.ncbi.nlm.nih.gov/pubmed/30486349 http://dx.doi.org/10.3390/s18124151 |
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